A Systematic Review and Meta-Analysis of Discrepancies Between Logged and Self-Reported Digital Media Use

Through a meta-analysis, we investigate the relationship between self-reported and device-logged media use. [(Open Access Link)](rdcu.be/ckK81)

Artificial intelligence in communication impacts language and social relationships

Two randomized experiments (n = 1036) provide evidence that a commercially deployed AI changes how people interact with and perceive one another in pro-social and anti-social ways. We find that even though AI can increase communication efficiency and improve interpersonal perceptions, it risks changing users’ language production and continues to be viewed negatively. [(PDF - arXiv)](https://arxiv.org/pdf/2102.05756.pdf)

Priming effects of social media use scales on well-being outcomes: The influence of intensity and addiction scales on self-reported depression

We examine the possibility that different associations between social media and depression may be caused by the survey design itself, not by underlying differences in depression. [(Open Access Link)](https://journals.sagepub.com/doi/full/10.1177/2056305120961784)

Effects of AI Use on Interpersonal Perceptions of Job Applicants

To better understand the impact of AI in employment-related contexts, we conducted two experiments (the first pre-registered) investigating how the use of AI by applicants influences their job opportunities.

Not All AI Are Equal: Exploring the Accessbility of AI-Mediated Communication Technology

We conducted an online survey of U.S. participants that combines quantitative measures with qualitative questions, revealing how AI-MC adoption is related to tool, device, and internet access; demographic factors such as age and speech characteristics; and AI-MC literacy, a close cousin of digital literacy.